To address the issue that traditional situation assessment methods in wargaming rely on manual analysis and struggle to dynamically quantify battlefield force comparisons, this paper proposes a real-time situation assessment and visualization framework based on the minimum convex hull method. By extracting two-dimensional coordinate point sets of Red and Blue force deployments, we employ Andrew"s algorithm to construct minimum convex hulls and calculate controlled area sizes using the Shoelace formula, enabling real-time quantitative analysis of battlefield situations. Experiments conducted on public wargaming data reveal: The Red force"s controlled area demonstrates a four-phase evolution pattern characterized by "rapid growth → stable maintenance → decline → slight late-stage reduction", while the Blue force exhibits multi-peak fluctuations. Visualization of situation maps intuitively reveals combat intensity evolution through overlapping area variations between opposing control zones. This method provides military personnel with a dynamic and intuitive decision-support tool.